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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<h3><a id="index_d" name="index_d"></a>- d -</h3><ul>
<li>dampingFactor()&#160;:&#160;<a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#a96ca7edda2205c93db4747d00c6d83b9">shark::PopulationBasedStepSizeAdaptation</a></li>
<li>data()&#160;:&#160;<a class="el" href="classshark_1_1_bars_and_stripes.html#aa2fc90b392018f6788e48521f48c7dc9">shark::BarsAndStripes</a></li>
<li>Data()&#160;:&#160;<a class="el" href="group__shark__globals.html#gaecdfa51025bbadcfb6db99f292df82ea">shark::Data&lt; Type &gt;</a></li>
<li>data()&#160;:&#160;<a class="el" href="classshark_1_1_distant_modes.html#a7557f48d41fe2476fddf7d74e769508b">shark::DistantModes</a>, <a class="el" href="classshark_1_1_m_n_i_s_t.html#aa90381155ed27996c3e2d35d34937692">shark::MNIST</a>, <a class="el" href="classshark_1_1_shifter.html#aaf08cd5054280e317072ebaf846ff81e">shark::Shifter</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#afe97e8d945ac50b033bd2fe8e6c7718f">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_pair.html#a10989da82db7181438ce1ff19272bd75">shark::WeightedDataPair&lt; DataType, WeightType &gt;</a></li>
<li>DataElem&#160;:&#160;<a class="el" href="structshark_1_1_batch_traits_3_01_weighted_data_batch_3_01_data_type_00_01_weight_type_01_4_01_4.html#a83a936d6261d5d2fb60c49133a370b92">shark::BatchTraits&lt; WeightedDataBatch&lt; DataType, WeightType &gt; &gt;</a></li>
<li>dataset()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_nearest_neighbors.html#a22661db718a970568b31ab9ae47d83ad">shark::AbstractNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_c_v_folds.html#ad0bbe71a5ab3021ec9b6e43d7b6555fd">shark::CVFolds&lt; DatasetTypeT &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a20c3d8aa10aa6056277df2f02261033b">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_simple_nearest_neighbors.html#a87bb8ea903edac0d8a5ad560be47f47d">shark::SimpleNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>Dataset&#160;:&#160;<a class="el" href="classshark_1_1_simple_nearest_neighbors.html#a34c2838b82d29e9f725bef18d3540514">shark::SimpleNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>dataset()&#160;:&#160;<a class="el" href="classshark_1_1_tree_nearest_neighbors.html#a05eda57f90ea8bbb9c1fbe773a7075e6">shark::TreeNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>Dataset&#160;:&#160;<a class="el" href="classshark_1_1_tree_nearest_neighbors.html#a81535a6dc1129bf3b9c5db033706ee7d">shark::TreeNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>DatasetType&#160;:&#160;<a class="el" href="classshark_1_1_abstract_trainer.html#aa4730fe9d59622d35d95cd4233f8d7af">shark::AbstractTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_unsupervised_trainer.html#a2fcc37e7133ddcadb66ffb9fa335ed1e">shark::AbstractUnsupervisedTrainer&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a8c8370c0d2c2550a50df4d6b0bccf42b">shark::AbstractWeightedTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_weighted_unsupervised_trainer.html#a37e15486d53e5d029a180b3bd96cff8d">shark::AbstractWeightedUnsupervisedTrainer&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_cross_validation_error.html#a877119a7b94d00302711ebfbd19f347d">shark::CrossValidationError&lt; ModelTypeT, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_c_v_folds.html#a34e7cbd1c1ee70e1052194320e946574">shark::CVFolds&lt; DatasetTypeT &gt;</a>, <a class="el" href="classshark_1_1_logistic_regression.html#ae4a9dfa85dc2e843c49e77d567a9a76d">shark::LogisticRegression&lt; InputVectorType &gt;</a>, <a class="el" href="classshark_1_1_loo_error.html#a98fd037674411d450eb935f09319bb40">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_loo_error_c_svm.html#aafab716c7ab49ef95a8e42c50543e97f">shark::LooErrorCSvm&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#adaae9bffb2de9f7695fd52035fa9a794">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_negative_log_likelihood.html#aa566dc2633577d347024d0ebb789bdf0">shark::NegativeLogLikelihood</a>, <a class="el" href="classshark_1_1_qp_box_linear.html#a5f5ee4e503f9d387f657f41a43297e71">shark::QpBoxLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear.html#a09a8a598fe1e6c6c625be0c55b03985a">shark::QpMcLinear&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_a_d_m.html#a4d8bc5efdd4db624d7c22a167637e53c">shark::QpMcLinearADM&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_a_t_m.html#ab7575e4a5092dac0849da7907d4b1871">shark::QpMcLinearATM&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_a_t_s.html#aaead2754cb9291e5f6d528cbcb8fe7a4">shark::QpMcLinearATS&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_c_s.html#a59105bb31b6de78f13982629b32eb178">shark::QpMcLinearCS&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_l_l_w.html#aaaf325364d5232e671602d914ef03f61">shark::QpMcLinearLLW&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_m_m_r.html#a601bad9efffcbb3f7e95a7dd634e62c7">shark::QpMcLinearMMR&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_reinforced.html#a6cddfc666a5511751458970c83a0fa82">shark::QpMcLinearReinforced&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_linear_w_w.html#aeab1965cb2ef7795e64e2949c8ec1089">shark::QpMcLinearWW&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#aad5feb801b7d44a7e9f571460ce44295">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_variational_autoencoder_error.html#a507e5d525e3ba1bf870a36c6c0b04a86">shark::VariationalAutoencoderError&lt; SearchPointType &gt;</a></li>
<li>DataType&#160;:&#160;<a class="el" href="classshark_1_1_abstract_budget_maintenance_strategy.html#a7027102ef6150ec0de810886b8098718">shark::AbstractBudgetMaintenanceStrategy&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_lasso_regression.html#ad09457449981c6e602f53d65d184c1a7">shark::LassoRegression&lt; InputVectorType &gt;</a>, <a class="el" href="classshark_1_1_weighted_labeled_data.html#a281b253f885a39cf0f7b4b536f477850">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_weighted_unlabeled_data.html#a91d5113d9a6f67a6593d76e4a265cf51">shark::WeightedUnlabeledData&lt; DataT &gt;</a></li>
<li>DataView()&#160;:&#160;<a class="el" href="classshark_1_1_data_view.html#ab9a6a0d93261ae6e467ff03dc1ebdc69">shark::DataView&lt; DatasetType &gt;</a></li>
<li>deactivateExample()&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a972625074dc6705ab4db62d68320c6c3">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#afd8b5d8d95c2235fe44423d9833761bd">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>deactivateVariable()&#160;:&#160;<a class="el" href="structshark_1_1_box_based_shrinking_strategy.html#a28001ad176039adccb83869d0b0867f8">shark::BoxBasedShrinkingStrategy&lt; Problem &gt;</a>, <a class="el" href="classshark_1_1_box_constrained_problem.html#addce0a45f76c289e79eb03012b26efaf">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a099ea4c9a5b161181ba18e0e540fd159">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a1d59e69be46dee9ca569fe8f4a4116d3">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#a218c29273fd1258c287357a1b0493918">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>decisionFunction()&#160;:&#160;<a class="el" href="classshark_1_1_classifier.html#adf58b2ed9969bad9828772dd23c59c02">shark::Classifier&lt; Model &gt;</a></li>
<li>DecisionFunctionType&#160;:&#160;<a class="el" href="classshark_1_1_classifier.html#a8ce1b873de955920b900779bf02c719e">shark::Classifier&lt; Model &gt;</a></li>
<li>decoder()&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#af637c896bf9edd55a3184a135a4334e2">shark::PCA</a></li>
<li>DEFAULT_FORMAT()&#160;:&#160;<a class="el" href="structshark_1_1_shark_1_1_version.html#a0cd56cd50e6836cb6b86e5979353ef44">shark::Shark::Version&lt; major, minor, patch &gt;</a></li>
<li>DefaultBatchSize&#160;:&#160;<a class="el" href="group__shark__globals.html#gad0796fae6f819e8ca309dea4247621be">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>defaultvalue&#160;:&#160;<a class="el" href="structshark_1_1_qp_sparse_array_1_1_row.html#a26a98ced15022c5c9249beb503184667">shark::QpSparseArray&lt; QpFloatType &gt;::Row</a></li>
<li>defineBalancedCost()&#160;:&#160;<a class="el" href="classshark_1_1_discrete_loss.html#a2200c7758219e1fe8867ce5044b5528b">shark::DiscreteLoss</a></li>
<li>defineCostMatrix()&#160;:&#160;<a class="el" href="classshark_1_1_discrete_loss.html#a08efa3b62b061fd8df5091d91bdabd2a">shark::DiscreteLoss</a></li>
<li>degrad()&#160;:&#160;<a class="el" href="classshark_1_1_single_pole.html#a9f9f67ccd4513296a47a2b1acfbc3c33">shark::SinglePole</a></li>
<li>degree()&#160;:&#160;<a class="el" href="classshark_1_1_polynomial_kernel.html#ae963f3112a29486531d6da7fe74c1ef9">shark::PolynomialKernel&lt; InputType &gt;</a></li>
<li>delta()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_approximator.html#abfeab3928eff47a2869c542b0ed020dc">shark::HypervolumeApproximator</a>, <a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#a57c159dc8900f273d0f0fd58147ee6d4">shark::HypervolumeContributionApproximator</a></li>
<li>derivative()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#ad35111bf627c76f3cedd4dd5f92fcd9b">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_rprop.html#a4758301af0b01ee2d2025d66f3bc0885">shark::Rprop&lt; SearchPointType &gt;</a></li>
<li>diagonal()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_boxed_s_v_m_problem.html#ab2b98b78ad4b3525df3bf0570c50ef74">shark::BoxedSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_c_s_v_m_problem.html#a83d760d8d7cb69a76756cf8b6a5db469">shark::CSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_general_quadratic_problem.html#a1beb985520dc9f49db3408e22918fb03">shark::GeneralQuadraticProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="structshark_1_1_qp_mc_box_decomp_1_1_variable.html#aa4cb6314dcd3192a3d1937903446ac42">shark::QpMcBoxDecomp&lt; Matrix &gt;::Variable</a>, <a class="el" href="structshark_1_1_qp_mc_simplex_decomp_1_1_example.html#a695f9e848d59f0ada274e8c18e283678">shark::QpMcSimplexDecomp&lt; Matrix &gt;::Example</a>, <a class="el" href="structshark_1_1_qp_mc_simplex_decomp_1_1_variable.html#a46558dedf8e8f00a5a1dc67cb76783fe">shark::QpMcSimplexDecomp&lt; Matrix &gt;::Variable</a>, <a class="el" href="classshark_1_1_svm_problem.html#aa8f67d9116f73ddd35faf9f16d13e39f">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>DiagonalWithCircle()&#160;:&#160;<a class="el" href="classshark_1_1_diagonal_with_circle.html#a5807a14d10927aed3be29c74601a842b">shark::DiagonalWithCircle</a></li>
<li>DifferenceKernelMatrix()&#160;:&#160;<a class="el" href="classshark_1_1_difference_kernel_matrix.html#a75322ec30dee27e1a7343e71853bd4d6">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>DiffPowers()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_diff_powers.html#aac2a19482a4d7520779da36467e8e019">shark::benchmarks::DiffPowers</a></li>
<li>dimensionName()&#160;:&#160;<a class="el" href="classshark_1_1statistics_1_1_result_table.html#aa4164b251cc24d9baa1801904eeeccb9">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#abb1ca8f721bab341a459771dfedf12b0">shark::statistics::Statistics&lt; Parameter &gt;</a></li>
<li>dimensions()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_box_constraint_handler.html#a280f8c3a860866242596e6e2ea3ff2b7">shark::BoxConstraintHandler&lt; Vector &gt;</a>, <a class="el" href="classshark_1_1_boxed_s_v_m_problem.html#a6555ea207186eaabc65404f3f5efe419">shark::BoxedSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_c_s_v_m_problem.html#ab8b41a5112634a8e39b6f31a71811f92">shark::CSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_general_quadratic_problem.html#a170d8bc7b59295225e50ef670c93d12b">shark::GeneralQuadraticProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_box_decomp.html#a6ac922e31302971419d628beb007661e">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a7ce0f79ca192b9cff806f6dd74180911">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#a42f4bb52a5e7c0415519da0ecf060edf">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>DiscreteKernel()&#160;:&#160;<a class="el" href="classshark_1_1_discrete_kernel.html#aa25ea901c8d3311c3187f9ac5a4824be">shark::DiscreteKernel</a></li>
<li>DiscreteLoss()&#160;:&#160;<a class="el" href="classshark_1_1_discrete_loss.html#aa0d1901ba0db57d4f369277f09adbe5f">shark::DiscreteLoss</a></li>
<li>Discus()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_discus.html#a8c23292b073ea3df9192c9fa707d6ade">shark::benchmarks::Discus</a></li>
<li>distanceFromPlane()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#aa0d859e272e40b522cb3eb328b0e1f41">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>DistancePair&#160;:&#160;<a class="el" href="classshark_1_1_abstract_nearest_neighbors.html#aca52936d3edcb0538a5be59fff147216">shark::AbstractNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_simple_nearest_neighbors.html#ae85bcee60ffdda60be8830e682785b9c">shark::SimpleNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_tree_nearest_neighbors.html#ad884ac010262866e0fbc13878d7fc0b4">shark::TreeNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>distances()&#160;:&#160;<a class="el" href="classshark_1_1_centroids.html#aa60e316c9166e3a61903dceadfdd0785">shark::Centroids</a></li>
<li>DistanceWeights&#160;:&#160;<a class="el" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3">shark::NearestNeighborModel&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111">shark::NearestNeighborModel&lt; InputType, unsigned int &gt;</a></li>
<li>DistantModes()&#160;:&#160;<a class="el" href="classshark_1_1_distant_modes.html#a4ff22c375621b08c4128254d0cefab02">shark::DistantModes</a></li>
<li>doInit()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a862a084a4facd795a1f99267c4c4e1e1">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#a11fd52c599b6095432eefb1e599a14cc">shark::CMSA</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a19809c73b76ec26f8bb835cfdc416022">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a2f466440a188d08a19faa75739b5d621">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a739488c5bcc99716ad99ef494f130b13">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#a10fd13169143de87c9d9d5650851dab0">shark::MOEAD</a>, <a class="el" href="classshark_1_1_real_coded_n_s_g_a_i_i_i.html#ad457877fd7ad0a79ca7bcba1179d7df0">shark::RealCodedNSGAIII</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a4630d1d33af282abfd60b6a8e14b839e">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a3f58af17cf4d59cd57d8dc81e9cf9946">shark::SMSEMOA</a></li>
<li>DoublePole()&#160;:&#160;<a class="el" href="classshark_1_1_double_pole.html#a7ab1e7c4c87e91b6a435473488b24b94">shark::DoublePole</a></li>
<li>draw()&#160;:&#160;<a class="el" href="classshark_1_1_chessboard.html#a6717822ad9bda839acd8aa21d46d2117">shark::Chessboard</a>, <a class="el" href="classshark_1_1_circle_in_square.html#a69f09fa2492f510a2fd07f2020004eeb">shark::CircleInSquare</a>, <a class="el" href="classshark_1_1_data_distribution.html#a3358c43ba05299220ff8df6d5ea7bc75">shark::DataDistribution&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_diagonal_with_circle.html#aead34d360cb03448e0ee6c8a400e0dd0">shark::DiagonalWithCircle</a>, <a class="el" href="classshark_1_1_image_patches.html#a01400c960d4da83f22837902c459d35e">shark::ImagePatches</a>, <a class="el" href="classshark_1_1_labeled_data_distribution.html#ace4a2b81e54f0944d241b92a54f1a4c2">shark::LabeledDataDistribution&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_normal_distributed_points.html#acdcede1ac2229cb820348c9542ee1b0e">shark::NormalDistributedPoints</a>, <a class="el" href="classshark_1_1_pami_toy.html#a7b2eaab3d024a8731d184f3ed5f38949">shark::PamiToy</a>, <a class="el" href="classshark_1_1_wave.html#af7cfadb59070e2fb83ceaf464256dfb5">shark::Wave</a></li>
<li>DropoutLayer()&#160;:&#160;<a class="el" href="classshark_1_1_dropout_layer.html#a194c5518dfef32ed4391ee8838176219">shark::DropoutLayer&lt; VectorType &gt;</a></li>
<li>DTLZ1()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z1.html#a4c5d6ea2eeda88eab3ed16522168afb2">shark::benchmarks::DTLZ1</a></li>
<li>DTLZ2()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z2.html#a106e2305bbb62c1d2059bacbcd5d7434">shark::benchmarks::DTLZ2</a></li>
<li>DTLZ3()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z3.html#a2df433052b57c6be54a8c8912f268365">shark::benchmarks::DTLZ3</a></li>
<li>DTLZ4()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z4.html#a12db9434fe782e642694eb1d9bbfd33b">shark::benchmarks::DTLZ4</a></li>
<li>DTLZ5()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z5.html#ace28d0c32fff44e6458ff535951ea6b0">shark::benchmarks::DTLZ5</a></li>
<li>DTLZ6()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z6.html#a3d55657fdef027b40066f03dcdf637d4">shark::benchmarks::DTLZ6</a></li>
<li>DTLZ7()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z7.html#ad6faa377418a197315752d3c5f5e67ea">shark::benchmarks::DTLZ7</a></li>
</ul>
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